LIMITED EFFECT OF REACTIVE OXYGEN SPECIES ON THE COMPOSITION OF SUSCEPTIBLE ESSENTIAL AMINO ACIDS IN THE MIDGUTS OF <scp>L</scp>ymantria Dispar CATERPILLARS
Bibliographic record
Abstract
The essential amino acids (EAAs) arginine, histidine, lysine, and methionine, as well as cysteine (semiessential), are believed to be susceptible to reactions with reactive oxygen species (ROS) in biological systems. The decreased availability of these EAAs could harm insect nutrition, since several of them can also be limiting for protein synthesis. However, no in vivo studies have quantified the effect of ROS in the midguts of insect herbivores on EAA composition. This study examined the association between elevated levels of ROS in the midgut fluid of Lymantria dispar caterpillars and the compositions of EAAs (protein-bound + protein-free) in their midgut fluid and frass. Contrary to expectation, the compositions of EAAs were not significantly decreased by ROS in midgut fluid ex vivo when incubated with phenolic compounds. Two in vivo comparisons of low- and high-ROS-producing leaves also showed similar results: there were no significant decreases in the compositions of EAAs in the midgut fluids and/or frass of larvae with elevated levels of ROS in their midguts. In addition, waste nitrogen excretion was not significantly increased from larvae on high-ROS treatments, as would be expected if ROS produced unbalanced EAA compositions. These results suggest that L. dispar larvae are able to tolerate elevated levels of ROS in their midguts without nutritionally significant changes in the compositions of susceptible EAAs in their food.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".